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The MSc Applied Data Science programme is designed to transform students from a wide range of backgrounds into proficient data scientists. The programme will develop your data science skills, enabling you to enhance your career in data science or pursue further data science specialisation.
If you have a degree in science, the social sciences, biological sciences, or engineering then this is the programme for you. Unlike many other programmes, university study in mathematics, statistics or computing is not required for entry to this programme. All we require is that students have passed a post-16 qualification in mathematics, our lecturers will support you to develop the necessary skills. Our teaching staff have experience in developing the necessary mathematical skills on which a Data Science career can be built.
If you do have an undergraduate degree in mathematics or computer science, then you may consider our MSc Data Science as an alternative.
Across business sectors, there is an exploding demand for data scientists, and this programme seeks to develop your skills and take advantage of these opportunities. You’ll gain hands-on experience in data mining, artificial intelligence, and predictive analytics to ensure you are highly employable upon graduation.
On our programme, you will develop the skills necessary to manage and analyse extensive and complex datasets. Using the latest algorithms and techniques, you’ll gain experience in data modelling, storing, processing and visualising data. Our optional modules allow you to customise your learning, and study specialist topics, further enriching your journey towards a successful career as a data scientist.
The MSc Applied Data Science programme will develop your skills, so that you can apply your knowledge to industry and scientific data analysis. In your final semester, you will apply the skills you obtained in a final project. In some cases, the MSc project can also be done in collaboration with an external industrial or academic organisation.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc Applied Data Science programme is designed to transform students from a wide range of backgrounds into proficient data scientists. The programme will develop your data science skills, enabling you to enhance your career in data science or pursue further data science specialisation.
If you have a degree in science, the social sciences, biological sciences, or engineering then this is the programme for you. Unlike many other programmes, university study in mathematics, statistics or computing is not required for entry to this programme. All we require is that students have passed a post-16 qualification in mathematics, our lecturers will support you to develop the necessary skills. Our teaching staff have experience in developing the necessary mathematical skills on which a Data Science career can be built.
If you do have an undergraduate degree in mathematics or computer science, then you may consider our MSc Data Science as an alternative.
Across business sectors, there is an exploding demand for data scientists, and this programme seeks to develop your skills and take advantage of these opportunities. You’ll gain hands-on experience in data mining, artificial intelligence, and predictive analytics to ensure you are highly employable upon graduation.
On our programme, you will develop the skills necessary to manage and analyse extensive and complex datasets. Using the latest algorithms and techniques, you’ll gain experience in data modelling, storing, processing and visualising data. Our optional modules allow you to customise your learning, and study specialist topics, further enriching your journey towards a successful career as a data scientist.
The MSc Applied Data Science programme will develop your skills, so that you can apply your knowledge to industry and scientific data analysis. In your final semester, you will apply the skills you obtained in a final project. In some cases, the MSc project can also be done in collaboration with an external industrial or academic organisation.
Admission Requirements
6+
A minimum of a 2:2 honours degree or non-UK equivalent in any academic subject.
This programme is designed for students who do not hold a degree in mathematics or computer science. However, students will need to have evidence of studying mathematics at A Level grade C or above, or international equivalent.
MSc Applied Data Science
Heriot-Watt University Edinburgh, Edinburgh, United Kingdom
12 monthsProgramme duration
19,816 GBPTuition Fee/year
11Scholarships
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc Applied Data Science programme is designed to transform students from a wide range of backgrounds into proficient data scientists. The programme will develop your data science skills, enabling you to enhance your career in data science or pursue further data science specialisation.
If you have a degree in science, the social sciences, biological sciences, or engineering then this is the programme for you. Unlike many other programmes, university study in mathematics, statistics or computing is not required for entry to this programme. All we require is that students have passed a post-16 qualification in mathematics, our lecturers will support you to develop the necessary skills. Our teaching staff have experience in developing the necessary mathematical skills on which a Data Science career can be built.
If you do have an undergraduate degree in mathematics or computer science, then you may consider our MSc Data Science as an alternative.
Across business sectors, there is an exploding demand for data scientists, and this programme seeks to develop your skills and take advantage of these opportunities. You’ll gain hands-on experience in data mining, artificial intelligence, and predictive analytics to ensure you are highly employable upon graduation.
On our programme, you will develop the skills necessary to manage and analyse extensive and complex datasets. Using the latest algorithms and techniques, you’ll gain experience in data modelling, storing, processing and visualising data. Our optional modules allow you to customise your learning, and study specialist topics, further enriching your journey towards a successful career as a data scientist.
The MSc Applied Data Science programme will develop your skills, so that you can apply your knowledge to industry and scientific data analysis. In your final semester, you will apply the skills you obtained in a final project. In some cases, the MSc project can also be done in collaboration with an external industrial or academic organisation.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc Applied Data Science programme is designed to transform students from a wide range of backgrounds into proficient data scientists. The programme will develop your data science skills, enabling you to enhance your career in data science or pursue further data science specialisation.
If you have a degree in science, the social sciences, biological sciences, or engineering then this is the programme for you. Unlike many other programmes, university study in mathematics, statistics or computing is not required for entry to this programme. All we require is that students have passed a post-16 qualification in mathematics, our lecturers will support you to develop the necessary skills. Our teaching staff have experience in developing the necessary mathematical skills on which a Data Science career can be built.
If you do have an undergraduate degree in mathematics or computer science, then you may consider our MSc Data Science as an alternative.
Across business sectors, there is an exploding demand for data scientists, and this programme seeks to develop your skills and take advantage of these opportunities. You’ll gain hands-on experience in data mining, artificial intelligence, and predictive analytics to ensure you are highly employable upon graduation.
On our programme, you will develop the skills necessary to manage and analyse extensive and complex datasets. Using the latest algorithms and techniques, you’ll gain experience in data modelling, storing, processing and visualising data. Our optional modules allow you to customise your learning, and study specialist topics, further enriching your journey towards a successful career as a data scientist.
The MSc Applied Data Science programme will develop your skills, so that you can apply your knowledge to industry and scientific data analysis. In your final semester, you will apply the skills you obtained in a final project. In some cases, the MSc project can also be done in collaboration with an external industrial or academic organisation.
Admission Requirements
This programme is designed for students who do not hold a degree in mathematics or computer science. However, students will need to have evidence of studying mathematics at A Level grade C or above, or international equivalent.
Tuition fees
Domestic
International
Scholarships
The Hoogenboom Scholarship
Value
100% tuition fee waiver
Deadline
26 Apr 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
IMechE Scholarships (for Mechanical Engineers)
Value
$21800
Deadline
31 Aug 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
The Island Scholarship Programme - Orkney Campus (UK) (International)
Value
100% tuition fee waiver
Deadline
31 Mar 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
Postgraduate European Union Scholarship
Value
$5000
Deadline
31 Jul 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
Norway Early Bird Scholarship
Value
$6000
Deadline
1 May 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
International Merit Scholarship
Value
$2000
Deadline
30 Jun 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
Heriot-Watt University Expenses Bursary
Value
$525
Deadline
31 Aug 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
Heriot-Watt Sports Scholarships
Value
25% tuition fee waiver
Deadline
31 Jul 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
Heriot-Watt Actuarial Scholarship For Academic Excellence
Value
20% tuition fee waiver
Deadline
30 May 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
Americas and Europe (Non-EU) Scholarship
Value
$5000
Deadline
15 Jun 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
Alumni Discount Scheme
Value
20% tuition fee waiver
Deadline
31 Jul 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
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